Data engineering and annotation services for generative AI model training
Innodata is a public data engineering company built around AI model training—specifically, generating, labeling, and evaluating training datasets for LLMs and generative AI systems. The tech stack reflects this focus: Python + PyTorch + TensorFlow + Hugging Face for model work, paired with OpenAI API, Azure OpenAI, and Gemini for inference and evaluation. Hiring is heavily skewed toward data roles (96 of 160 open positions), with junior-level dominance, indicating a labor-intensive, scaling operation centered on dataset curation and annotation rather than platform or product engineering.
Innodata is a publicly traded (NASDAQ: INOD) data engineering company serving AI builders and enterprise adopters. Founded in 1988, the company has pivoted toward generative AI—providing data annotation, extraction, cleansing, and dataset generation services that feed LLM training pipelines. The work spans image and video annotation, prompt generation, LLM evaluation and labeling, and content review for AI response improvement. Operating at 5,001–10,000 employees globally, with hiring across 25+ countries, Innodata functions as a distributed labor platform optimizing for annotation accuracy, bias reduction, and dataset scale.
Python, PyTorch, TensorFlow, Hugging Face, OpenAI API, Azure OpenAI, Gemini, LangChain, AWS, Azure, GCP, BigQuery, Dataflow, and BI tools (Looker, Tableau, Power BI).
LLM training dataset generation, prompt development, LLM evaluation and labeling, content review for AI response improvement, coding question development, and bias reduction in AI outputs.
Innodata Inc.'s technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.